Oncologists reviewed 20 years of history after hours. AI now distills hundreds of pages into searchable summaries, freeing time for patients.
One of the largest cancer research and treatment organizations in the United States, onboarding more than 150,000 patients in 2024 alone.
New patients often arrive with medical histories spanning 10–20 years, forcing doctors to manually review hundreds of pages of test results and...
“One of our physician executives jokingly told me that because this is such a big pain point, if we could come up with a solution to digest all this information and provide an accurate summary, my statue would be placed in the City of Hope hospital. That’s how we started working on this use case.”
Comprehensive cancer research and treatment center for oncology and diabetes care.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Auditors manually listened to payer calls. AI now transcribes audio and drafts correction lists for review.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Reviewing hundreds of pages for 50 criteria caused missed matches. AI now parses records to find eligible patients ahead of visits.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.